Inverse Design by AI

Working backward from desired properties to viable chemical structures.

RESEARCH TOPIC 02

Inverse Design from Target Properties

We use AI to generate material structures from target properties, leveraging high-dimensional information such as DOS to explore a broader materials space. We further extend inverse design to synthesis and processing, bridging the gap between material design and practical realization.

Generative AITarget-Driven DesignMaterials InformaticsSynthesis Design

High-Dimensional Property Representation

Learn representations of high-dimensional electronic structures, such as DOS, to capture complex structure–property relationships.

Property-to-Structure Generation

Generate and explore candidate material structures based on desired properties using AI-based inverse design models.

Synthesis & Process Inverse Design

Jointly design material structures, synthesis routes, and processing conditions to bridge the gap between material design and experimental realization.

Next topic

Catalyst Design

Continue